We will make boxplots of $\lambda$ ten days before and after the confinement begin from the results coming from the use of the different data sets (Johns Hopkins University for new cases and data.gouv.fr for new hospitalisations, see France_JHU and France_hospitalisations scripts). The data that led to the inference results used in this script is in both cases the data available 08/05 before 19h00.
import sys
import os
from importlib import reload
try:
import covid19_inference.data_collection as cov19dc
import covid19_inference.multi_country_plotting as cov19mcp
except:
sys.path.append("..")
import covid19_inference.data_collection as cov19dc
import covid19_inference.multi_country_plotting as cov19mcp
reload(cov19mcp)
cov19mcp.boxplots_around_lockdown_one_country("France", distance=10)
Original data from JHU (10 mai 2020) and Italian government GitHub repository (09 mai 2020).
cov19mcp.boxplots_around_lockdown_one_country("Italy", distance=10)
reload(cov19mcp)
cov19mcp.plotly_violins_all_available_lambda(distances=10)